Computational Methods in Synthetic Biology, Mario Andrea Marchisio

Автор: Zaccai, Nathan R. (University of Cambridge) Serdyuk, Igor N. Zaccai, Joseph
Название: Methods in Molecular Biophysics: Structure, Dynamics, Function for Biology and Medicine, 2 ed.
ISBN: 1107056373 ISBN-13(EAN): 9781107056374
Издательство: Cambridge Academ
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Описание: Reflecting the significant developments of the past decade, this textbook explains key physical methods in modern biology. Each method is illustrated through real-world examples, alongside background information designed for both physicists and biologists, making this an ideal resource for students in biophysics at science and medical schools.

Автор: Malik Yousef; Jens Allmer
Название: miRNomics: MicroRNA Biology and Computational Analysis
ISBN: 1627037470 ISBN-13(EAN): 9781627037471
Издательство: Springer
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Описание: In miRNomics: MicroRNA Biology and Computational Analysis, expert researchers in the field present an overview of the current state of the art and aim to put the respective areas of research into a larger perspective.

Автор: Ying Xu; Dong Xu; Jie Liang
Название: Computational Methods for Protein Structure Prediction and Modeling
ISBN: 1441922067 ISBN-13(EAN): 9781441922069
Издательство: Springer
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Цена: 26120.00 р.
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Описание: Volume Two of this two-volume sequence presents a comprehensive overview of protein structure prediction methods and includes protein threading, De novo methods, applications to membrane proteins and protein complexes, structure-based drug design, as well as structure prediction as a systems problem.

Автор: Ying Xu; Dong Xu; Jie Liang
Название: Computational Methods for Protein Structure Prediction and Modeling
ISBN: 1441922059 ISBN-13(EAN): 9781441922052
Издательство: Springer
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Описание: Volume One of this two-volume sequence focuses on the basic characterization of known protein structures, and structure prediction from protein sequence information. Eleven chapters survey of the field, covering key topics in modeling, force fields, classification, computational methods, and structure prediction.

Автор: Tomasz G. Smolinski; Mariofanna G. Milanova; Aboul
Название: Applications of Computational Intelligence in Biology
ISBN: 3642097308 ISBN-13(EAN): 9783642097300
Издательство: Springer
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Цена: 30606.00 р.
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Описание: This book presents current applications of Computational Intelligence in Biology. It provides a medium for an exchange of expertise and concerns. The editors have solicited contributions from both computational intelligence as well as biology researchers.

Автор: Gautam B. Singh
Название: Fundamentals of Bioinformatics and Computational Biology
ISBN: 3319383132 ISBN-13(EAN): 9783319383132
Издательство: Springer
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Цена: 23757.00 р.
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Описание: This book offers comprehensive coverage of all the core topics of bioinformatics, and includes practical examples completed using the MATLAB bioinformatics toolbox™. It is primarily intended as a textbook for engineering and computer science students attending advanced undergraduate and graduate courses in bioinformatics and computational biology. The book develops bioinformatics concepts from the ground up, starting with an introductory chapter on molecular biology and genetics. This chapter will enable physical science students to fully understand and appreciate the ultimate goals of applying the principles of information technology to challenges in biological data management, sequence analysis, and systems biology. The first part of the book also includes a survey of existing biological databases, tools that have become essential in today’s biotechnology research. The second part of the book covers methodologies for retrieving biological information, including fundamental algorithms for sequence comparison, scoring, and determining evolutionary distance. The main focus of the third part is on modeling biological sequences and patterns as Markov chains. It presents key principles for analyzing and searching for sequences of significant motifs and biomarkers. The last part of the book, dedicated to systems biology, covers phylogenetic analysis and evolutionary tree computations, as well as gene expression analysis with microarrays. In brief, the book offers the ideal hands-on reference guide to the field of bioinformatics and computational biology.

Автор: Satoru Miyano; Jill Mesirov; Simon Kasif; Sorin Is
Название: Research in Computational Molecular Biology
ISBN: 3540258663 ISBN-13(EAN): 9783540258667
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This volume contains the papers presented at the 9th Annual International Conference on Research in Computational Molecular Biology (RECOMB 2005), which was held in Cambridge, Massachusetts, on May 14-18, 2005.

Автор: Matesh N. Varma; Aloke Chatterjee
Название: Computational Approaches in Molecular Radiation Biology
ISBN: 0306449951 ISBN-13(EAN): 9780306449956
Издательство: Springer
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Цена: 26122.00 р.
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Автор: David Feny?
Название: Computational Biology
ISBN: 1493961225 ISBN-13(EAN): 9781493961221
Издательство: Springer
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Цена: 20962.00 р.
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Описание: Computational biology is an interdisciplinary field that applies mathematical, statistical, and computer science methods to answer biological questions, and its importance has only increased with the introduction of high-throughput techniques such as automatic DNA sequencing, comprehensive expression analysis with microarrays, and proteome analysis with modern mass spectrometry. In Computational Biology, expert practitioners present a broad survey of computational biology methods by focusing on their applications, including primary sequence analysis, protein structure elucidation, transcriptomics and proteomics data analysis, and exploration of protein interaction networks. As a volume in the highly successful Methods in Molecular Biology™ series, this work provides the kind of detailed description and implementation advice that is crucial for getting optimal results. Authoritative and easy to use, Computational Biology is an ideal guide for all scientists interested in quantitative biology.

Автор: Krzysztof Pancerz; Elena Zaitseva
Название: Computational Intelligence, Medicine and Biology
ISBN: 3319368524 ISBN-13(EAN): 9783319368528
Издательство: Springer
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Цена: 13059.00 р.
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Описание: This book contains an interesting and state-of the art collection of chapters presenting several examples of attempts to developing modern tools utilizing computational intelligence in different real life problems encountered by humans.

Автор: J?rgen Bajorath
Название: Chemoinformatics and Computational Chemical Biology
ISBN: 1493957937 ISBN-13(EAN): 9781493957934
Издательство: Springer
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Цена: 26552.00 р.
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Описание: This book brings together reviews and methods including, system-directed approaches using small molecules, the design of target-focused compound libraries, the study of molecular selectivity, and the systematic analysis of target-ligand interactions.

Автор: Jan Gorodkin; Walter L. Ruzzo
Название: RNA Sequence, Structure, and Function: Computational and Bioinformatic Methods
ISBN: 1493961659 ISBN-13(EAN): 9781493961658
Издательство: Springer
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Цена: 23058.00 р.
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Описание: The existence of genes for RNA molecules not coding for proteins (ncRNAs) has been recognized since the 1950's, but until recently, aside from the critically important ribosomal and transfer RNA genes, most focus has been on protein coding genes. However, a long series of striking discoveries, from RNA's ability to carry out catalytic function, to discovery of riboswitches, microRNAs and other ribo-regulators performing critical tasks in essentially all living organisms, has created a burgeoning interest in this primordial component of the biosphere. However, the structural characteristics and evolutionary constraints on RNA molecules are very different from those of proteins, necessitating development of a completely new suite of informatic tools to address these challenges. In RNA Sequence, Structure, Function: Computational and Bioinformatic Methods, expert researchers in the field describe a substantial and relevant fraction of these methodologies from both practical and computational/algorithmic perspectives. Focusing on both of these directions addresses both the biologist interested in knowing more about RNA bioinformatics as well as the bioinformaticist interested in more detailed aspects of the algorithms. Written in the highly successful Methods in Molecular Biology series format, the chapters include the kind of detailed description and implementation advice that is crucial for getting optimal results. Thorough and intuitive, RNA Sequence, Structure, Function: Computational and Bioinformatic Methods aids scientists in continuing to study key methods and principles of RNA bioinformatics.